Aspects of the present disclosure provide techniques, including devices and system implementing the techniques, to provide feedback to a user of an event when the user is wearing a wearable device. For example, the wearable device may provide high quality noise canceling audio playback to the user, lowering the user's situation awareness. The techniques include measuring ambient sound using two or more microphones on the wearable device. The event is determined based on the measured ambient sound. A location attribute of the event is determined. A deep learning algorithm may be used to identify the nature and/or classification of the event and rule out events that the user prefers to ignore. Upon determining the event that merits the user's attention, the user is provided feedback of the determined event and the location attribute, the feedback indicating the nature and location of the event.

A noise reduction device and method comprises: at least one sound pickup microphone module for picking up sound from a medium to generate a noise pickup signal; at least one speaker driver for transmitting, to the medium, a vibration corresponding to a noise cancellation signal generated on the basis of the noise pickup signal; and a controller for generating the noise cancellation signal on the basis of the noise pickup signal.

A noise reduction device includes a processor that converts a noise signal collected by a microphone disposed in a control space into a noise signal in a frequency domain, a storage that stores the converted noise signal in the frequency domain as a reference signal, and a signal generator that generates a noise reduction signal for reducing the noise signal collected by the microphone at a control position of the control space. The processor determines whether or not the noise signal is non-stationary noise based on a frequency characteristic of the converted noise signal in the frequency domain and a frequency characteristic of the reference signal. When it is determined that the noise signal is the non-stationary noise, the processor controls the signal generator so as to cancel generation of the noise reduction signal.

A method of detecting singing of a user of a personal audio device, the method comprising: receiving a first audio signal comprising bone-conducted speech of the user from a first transducer of the personal audio device; monitoring a second audio signal output to a speaker of the personal audio device; and determining whether the user is singing based on the first audio signal and the second audio signal.

A sound output apparatus of a vehicle may include a sensor sensing a driving speed of the vehicle and a number of revolutions of a driving motor, a storage storing opposed-phase sound sources of a noise according to the number of revolutions of the driving motor, and a controller allowing an opposed-phase sound source corresponding to the number of revolutions of the driving motor, from among the opposed-phase sound sources stored in the storage to be output when the driving speed of the vehicle exceeds a predetermined speed.

A method of detecting singing of a user of a personal audio device, the method comprising: receiving a first audio signal comprising bone-conducted speech of the user from a first transducer of the personal audio device; monitoring a second audio signal output to a speaker of the personal audio device; and determining whether the user is singing based on the first audio signal and the second audio signal.

A system includes a microphone unit coupled to a roof of an autonomous vehicle. The microphone unit includes a microphone board having a first opening. The microphone unit also includes a first microphone positioned over the first opening and coupled to the microphone board. The microphone unit further includes an accelerometer. The system also includes a processor coupled to the microphone unit.

A control apparatus and method for noise cancellation in a physical area. The control apparatus receives a trigger input which includes information about a first physical area and further controls an image capturing device to capture at least one first image of the first physical area based on the received trigger input. The control apparatus further determines a number of occupants of a first set of occupants present in the first physical area and scene information corresponding to the first physical area based on the captured at least one first image. The control apparatus further controls a movement of a first plurality of unmanned aerial vehicles (UAVs) in a physical three-dimensional (3D) space to create a virtual noise cancellation boundary around the first physical area based on the determined number of occupants of the first set of occupants and the scene information.

Aspects of the present disclosure provide techniques, including devices and system implementing the techniques, to provide feedback to a user of an event when the user is wearing a wearable device. For example, the wearable device may provide high quality noise canceling audio playback to the user, lowering the user's situation awareness. The techniques include measuring ambient sound using two or more microphones on the wearable device. The event is determined based on the measured ambient sound. A location attribute of the event is determined. A deep learning algorithm may be used to identify the nature and/or classification of the event and rule out events that the user prefers to ignore. Upon determining the event that merits the user's attention, the user is provided feedback of the determined event and the location attribute, the feedback indicating the nature and location of the event.

Various embodiments include a computer-implemented method comprising receiving an input signal representing an ambient auditory environment of a user, generating, from the input signal, a set of ambient audio signals that includes a first component signal and a second component signal, generating, based on the first component signal, a first inverse signal that is a polar inverse of the first component signal, removing the first component signal from the set of ambient audio signals, generating a first composite signal that includes at least the first inverse signal and the second component signal, and driving an audio output device to produce soundwaves based on the first composite signal.